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DASC 5304. MACHINE LEARNING. 3 Hours.

Introduction to methods, concepts, analysis, and applications of modern Machine Learning. Topics include Unsupervised as well as Supervised learning with a central focus on practical and application aspects in the area of Data Science. Prerequisite: DASC MAJOR: DASC 5300, DASC 5301, DASC 5302.

Bachelor of Science in Computer Science to Master of Science in Data Science Fast Track

https://catalog.uta.edu/engineering/computer/undergraduate/computer-science-bs-to-data-science-ms-fast/
The Bachelor of Science in Computer Science to Master of Science in Data Science Fast Track enables outstanding senior undergraduate Computer Science students to receive dual undergraduate/graduate course credit for six or nine hours of coursework. These designated graduate courses satisfy both bachelor's and master's degree requirements. This program presentation includes both undergraduate and graduate requirements. The undergraduate degree will be conferred immediately upon completion of the undergraduate degree requirements. Interested students should contact a graduate advisor to learn how to apply and participate. 

Bachelor of Science in Computer Engineering to Master of Science in Data Science Fast Track

https://catalog.uta.edu/engineering/computer/undergraduate/computer-engr-bs-to-data-science-ms-fast/
The Bachelor of Science in Computer Engineering to Master of Science in Data Science Fast Track enables outstanding senior undergraduate Computer Engineering students to receive dual undergraduate/graduate course credit for six or nine hours of coursework. These designated graduate courses satisfy both bachelor's and master's degree requirements. This program presentation includes both undergraduate and graduate requirements. The undergraduate degree will be conferred immediately upon completion of the undergraduate degree requirements. Interested students should contact a graduate advisor to learn how to apply and participate.